Verified project record

mem0ai/mem0

Mem0 provides an intelligent memory layer for AI assistants and agents, retaining user, session, and agent state for adaptive personalization. It uses an external LLM by default to process conversational inputs and returns stored or retrieved memories.

Project overview

Project type: AI Agent · RAG
Use cases: Knowledge Q&A · Automation
Deployment: Refer to project documentation
License: Apache-2.0

Best for

Developers and AI engineers building AI assistants that require long-term memory and adaptive personalization.
Enterprise teams needing an intelligent memory layer to remember user preferences in their agents.

Key capabilities

Retains user, session, and agent state with adaptive personalization.
Manage memories from terminal via init, add, and search commands.
Provides multi-signal retrieval combining semantic, BM25 keyword, and entity matching.
Time-aware retrieval that ranks the right dated instance for queries about current state, past events, and upcoming plans.
Extracts, embeds, and links entities across memories for retrieval boosting.
Reference and pipeline skills for coding assistants to build with Mem0.

Limitations and risks

Open-source users should expect directionally similar gains but not identical benchmark numbers compared to managed platform.
Requires an external LLM to function, incurring API costs by default.

Getting started

Install via a single pip or npm install command, or start the server with a single docker compose up command.
Follow the first success path by installing the package and calling memory.add() to store data.

Evidence and sources

GitHub project description: Universal memory layer for AI Agents
README: ```bash pip install mem0ai ```
README: [Mem0](https://mem0.ai) ("mem-zero") enhances AI assistants and agents with an intelligent memory layer, enabling personalized AI interactions. It remembers user preferences, adap…
README: Scores reflect Mem0's managed platform, which includes proprietary optimizations not available in the open-source SDK; open-source users should expect directionally similar gains…
README: title={Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory},

Reviewed at: 2026-07-17T05:57:12Z